检索结果-内蒙古大学图书馆

IEEE International Conference on systems, Man and Cybernetics

作者： Isabela Birs Dana Copot Mihaela Ghita Cristina Muresan Clara Ionescu Dynamical Systems and Control research group Technologiepark 914 Ghent University Ghent Belgium Department of Automation Memorandumului street no.28 Technical University of Cluj-Napoca Cluj Napoca Romania

In this paper we analyze the opportunity to provide a methodology and signal processing algorithm to model and quantify drug concentrations in blood. The properties of blood as a non-Newtonian fluid are used to develop a physiologically based model using fractional calculus tools, which provide natural solutions to derivatives which no longer limit their order to integer numbers. In vitro tests support our mathematical model development. A prospective use for continuous monitoring of drug concentration profiles during anesthesia or other interventions is proposed. The proposed solution is based on fractional order impedance models.

关键词： Impedance Mathematical model Liquids Blood Electron tubes Kernel Electrodes

来源：评论

学校读者我要写书评

暂无评论

Metaproteomics in the One Health framework for unraveling microbial effectors in microbiomes

引用

Microbiome 2025年第1期13卷 134页

作者： Robert Heyer Maximilian Wolf Dirk Benndorf Sergio Uzzau Jana Seifert Lucia Grenga Martin Pabst Heike Schmitt Bart Mesuere Tim Van Den Bossche Sven-Bastiaan Haange Nico Jehmlich Mariagrazia Di Luca Manuel Ferrer Sergio Serrano-Villar Jean Armengaud Helge B Bode Patrick Hellwig Catherine Robbe Masselot Renaud Léonard Paul Wilmes Multidimensional Omics Analyses Group Leibniz-Institut für Analytische Wissenschaften - ISAS - e.V. Bunsen-Kirchhoff-Straße 11 44139 Dortmund Germany. robert.heyer@ISAS.de. Multidimensional Omics Analyses Group Faculty of Technology Bielefeld University Universitätsstraße 25 33615 Bielefeld Germany. robert.heyer@ISAS.de. Multidimensional Omics Analyses Group Faculty of Technology Bielefeld University Universitätsstraße 25 33615 Bielefeld Germany. Bioprocess Engineering Otto-Von-Guericke University Magdeburg Universitätsplatz 2 39106 Magdeburg Germany. Bioprocess Engineering Max Planck Institute for Dynamics of Complex Technical Systems Magdeburg Sandtorstraße 1 39106 Magdeburg Germany. Applied Biosciences and Process Engineering Anhalt University of Applied Sciences Köthen Germany. Department of Biomedical Sciences University of Sassari 07100 Sassari Italy. Institute of Animal Science University of Hohenheim Emil-Wolff-Str Stuttgart Germany. HoLMiR - Hohenheim Center for Livestock Microbiome Research University of Hohenheim Leonore-Blosser-Reisen Weg Stuttgart Germany. Département Médicaments Et Technologies Pour La Santé (DMTS) Université Paris-Saclay CEA INRAE SPI Bagnols-Sur-Cèze France. Department of Biotechnology Delft University of Technology Delft The Netherlands. Institute for Infectious Disease Control National Institute for Public Health and the Environment (RIVM) Bilthoven The Netherlands. Department of Applied Mathematics Computer Science and Statistics Ghent University 9000 Ghent Belgium. VIB - UGent Center for Medical Biotechnology VIB 9052 Ghent Belgium. Department of Biomolecular Medicine Faculty of Medicine and Health Sciences Ghent University 9052 Ghent Belgium. Department of Molecular Toxicology Helmholtz-Centre for Environmental Research - UFZ GmbH Permoserstrasse 15 04318 Leipzig Germany. Department of Biology University of Pisa 56127 Pisa Italy. Instituto de Catalisis y Petroleoquimica (ICP) CSIC 28049 Madrid Sp

One Health seeks to integrate and balance the health of humans, animals, and environmental systems, which are intricately linked through microbiomes. These microbial communities exchange microbes and genes, influencing not only human and animal health but also key environmental, agricultural, and biotechnological processes. Preventing the emergence of pathogens as well as monitoring and controlling the composition of microbiomes through microbial effectors including virulence factors, toxins, antibiotics, non-ribosomal peptides, and viruses holds transformative potential. However, the mechanisms by which these microbial effectors shape microbiomes and their broader functional consequences for host and ecosystem health remain poorly understood. Metaproteomics offers a novel methodological framework as it provides insights into microbial dynamics by quantifying microbial biomass composition, metabolic functions, and detecting effectors like viruses, antimicrobial resistance proteins, and non-ribosomal peptides. Here, we highlight the potential of metaproteomics in elucidating microbial effectors and their impact on microbiomes and discuss their potential for modulating microbiomes to foster desired functions.

关键词： Metaproteomics Microbial community Bacteriophages Microbiome Microbial effectors

来源：评论

学校读者我要写书评

暂无评论

A Robust PID Autotuning Method for Steam/Water Loop in Large Scale Ships

A Robust PID Autotuning Method for Steam/Water Loop in Large...

引用

作者： Zhao, Shiquan Ionescu, Clara M. De Keyser, Robin Liu, Sheng Ghent University Faculty of Engineering and Architecture Research group on Dynamical Systems Control Technologiepark 914 ZwijnaardeB9052 Belgium Harbin Engineering University College of Automation China

During the voyage of the ship, disturbances from the sea dynamics are frequently changing, and the ship's operation mode is also varied. Hence, it is necessary to have a good controller for steam/water loop, as the control task is becoming more challenging in large scale ships. In this paper, a robust proportional-integral-derivative (PID) autotuning method is presented and applied to the steam/water loop based on single sine tests for every sub-loop in the steam/water loop. The controller is obtained during which the user-defined robustness margins are guaranteed. Its performance is compared against other PID autotuners, and results indicate its superiority. © 2018

关键词： Ships

来源：评论

学校读者我要写书评

暂无评论

Nonlinear optimal control for autonomous hypersonic vehicles

引用

Aerospace systems 2019年第2期2卷 197-213页

作者： Rigatos, G. Wira, P. Abbaszadeh, M. Busawon, K. Dala, L. Unit of Industrial Automation Industrial Systems Institute Rion Patras 26504 Greece IRIMAS Université d’ Haute Alsace Mulhouse 68093 France GE Global Research General Electric Niskayuna 12309 NY United States Nonlinear Control Group University of Northumbria Newcastle NE1 8ST United Kingdom Department of Mechanical Engineering University of Northumbria Newcastle NE1 8ST United Kingdom

The article proposes a nonlinear optimal (H-infinity) control method for a hypersonic aerial vehicle (HSV). The dynamic model of the hypersonic vehicle undergoes approximate linearization around a temporary operating point which is recomputed at each iteration of the control method. This operating point consists of the present value of the system’s state vector and of the last value of the control inputs vector that was applied on the HSV. The linearization relies on Taylor series expansion and on the computation of the associated Jacobian matrices. For the approximately linearized model of the hypersonic aerial vehicle, an optimal (H-infinity) feedback controller was designed. To compute the controller’s feedback gains, an algebraic Riccati equation had to be repetitively solved at each iteration of the control algorithm. The global asymptotic stability of the control method is proven through Lyapunov analysis. The control scheme remains robust against model uncertainties an external perturbations. © 2019, Shanghai Jiao Tong University.

关键词： Approximate linearization Asymptotic stability Autonomous hypersonic vehicle Jacobian matrices Nonlinear H-infinity control Riccati equation Robust control Taylor series expansion

来源：评论

学校读者我要写书评

暂无评论

Interval zonotopic fault estimation for uncertain LPV descriptor systems

Interval zonotopic fault estimation for uncertain LPV descri...

引用

Conference on control and Fault-Tolerant systems (SysTol)

作者： Meng Zhou Chang Wang Zhengcai Cao Ye Wang Vicenç Puig College of Information Science & Technology Beijing University of Chemical Technology Beijing China Beijing Aerospace Automation Research Institute Beijing China College of Automation Harbin Engineering University Harbin China Advanced Control Systems Research Group at Institut de Robòtica i Informàtica Industrial Universitat Politècnica de Catalunya-BarcelonaTech Barcelona Spain

ISBN: (纸本)9781728103815

This work investigates the issue of interval fault estimation based on a zonotopic technique for discrete-time LPV systems with peak bounded uncertainties. First, taking the faults as an auxiliary state vector, an augmented descriptor system is generated. Then, a robust observer considering L ∞ performance is designed for it. The design conditions of the observer are given it terms of LMIs. Next, the bounds of the augmented states estimation are generated based on zonotopes that rigorously consider the unknown disturbance bounds. Finally, simulation results illustrate the performance of the proposed interval fault estimation method.

关键词： Observers Uncertainty control systems Fault detection Electrical fault detection

来源：评论

学校读者我要写书评

暂无评论

A consensus protocol for functional connectivity analysis in the rat brain (vol 26, pg 673, 2023)

引用

NATURE NEUROSCIENCE 2023年第6期26卷 1127-1128页

作者： Grandjean, Joanes Desrosiers-Gregoire, Gabriel Anckaerts, Cynthia Angeles-Valdez, Diego Ayad, Fadi Barriere, David A. Blockx, Ines Bortel, Aleksandra Broadwater, Margaret Cardoso, Beatriz M. Celestine, Marina Chavez-Negrete, Jorge E. Choi, Sangcheon Christiaen, Emma Clavijo, Perrin Colon-Perez, Luis Cramer, Samuel Daniele, Tolomeo Dempsey, Elaine Diao, Yujian Doelemeyer, Arno Dopfel, David Dvorakova, Lenka Falfan-Melgoza, Claudia Fernandes, Francisca F. Fowler, Caitlin F. Fuentes-Ibanez, Antonio Garin, Clement M. Gelderman, Eveline Golden, Carla E. M. Guo, Chao C. G. Henckens, Marloes J. A. G. Hennessy, Lauren A. Herman, Peter Hofwijks, Nita Horien, Corey Ionescu, Tudor M. Jones, Jolyon Kaesser, Johannes Kim, Eugene Lambers, Henriette Lazari, Alberto Lee, Sung-Ho Lillywhite, Amanda Liu, Yikang Liu, Yanyan Y. Lopez-Castro, Alejandra Lopez-Gil, Xavier Ma, Zilu MacNicol, Eilidh Madularu, Dan Mandino, Francesca Marciano, Sabina McAuslan, Matthew J. McCunn, Patrick McIntosh, Alison Meng, Xianzong Meyer-Baese, Lisa Missault, Stephan Moro, Federico Naessens, Daphne M. P. Nava-Gomez, Laura J. Nonaka, Hiroi Ortiz, Juan J. Paasonen, Jaakko Peeters, Lore M. Pereira, Mickael Perez, Pablo D. Pompilus, Marjory Prior, Malcolm Rakhmatullin, Rustam Reimann, Henning M. Reinwald, Jonathan Del Rio, Rodrigo Triana Rivera-Olvera, Alejandro Ruiz-Perez, Daniel Russo, Gabriele Rutten, Tobias J. Ryoke, Rie Sack, Markus Salvan, Piergiorgio Sanganahalli, Basavaraju G. Schroeter, Aileen Seewoo, Bhedita J. Selingue, Erwan Seuwen, Aline Shi, Bowen Sirmpilatze, Nikoloz Smith, Joanna A. B. Smith, Corrie Sobczak, Filip Stenroos, Petteri J. Straathof, Milou Strobelt, Sandra Sumiyoshi, Akira Takahashi, Kengo Torres-Garcia, Maria E. Tudela, Raul van den Berg, Monica van der Marel, Kajo van Hout, Aran T. B. Vertullo, Roberta Vidal, Benjamin Vrooman, Roel M. Wang, Victora X. Wank, Isabel Watson, David J. G. Yin, Ting Zhang, Yongzhi Zurbruegg, Stefan Achard, Sophie Alcauter, Sarael Auer, Dorothee P. Barbier, Emmanuel L. Baudewig, Juergen Beckmann, Chri Donders Institute for Brain Behaviour and Cognition Radboud University Nijmegen The Netherlands Department for Medical Imaging Radboud University Medical Center Nijmegen The Netherlands Cerebral Imaging Centre Douglas Mental Health University Institute Verdun QC Canada Integrated Program in Neuroscience McGill University Montreal QC Canada Bio-imaging Lab University of Antwerp Antwerp Belgium µNEURO Research Centre of Excellence University of Antwerp Antwerp Belgium Instituto de Neurobiología Universidad Nacional Autónoma de México Campus Juriquilla Querétaro Mexico Biological and Biomedical Engineering McGill University Montreal QC Canada McConnell Brain Imaging Centre McGill University Montreal QC Canada Montreal Neurological Institute McGill University Montreal QC Canada UMR INRAE/CNRS 7247 Physiologie des Comportements et de la Reproduction Physiologie de la reproduction et des comportements Centre de recherche INRAE de Nouzilly Tours France Department of Neurology and Neurosurgery McGill University Montreal QC Canada Center for Animal MRI University of North Carolina at Chapel Hill Chapel Hill NC USA Department of Neurology University of North Carolina at Chapel Hill Chapel Hill NC USA Biomedical Research Imaging Center University of North Carolina at Chapel Hill Chapel Hill NC USA Preclinical MRI Champalimaud Research Champalimaud Centre for the Unknown Lisbon Portugal Laboratoire des Maladies Neurodégénératives Molecular Imaging Research Center (MIRCen) Université Paris-Saclay Commissariat à l’Énergie Atomique et aux Énergies Alternatives (CEA) CNRS Fontenay-aux-Roses France Departamento de Neurobiología Conductual y Cognitiva Instituto de Neurobiología Universidad Nacional Autónoma de México Campus Juriquilla Querétaro México Translational Neuroimaging and Neural Control Group High-Field Magnetic Resonance Max Planck Institute for Biological Cybernetics Tuebingen Germany Graduate Training Centre of Neuroscience International Max

Task-free functional connectivity in animal models provides an experimental framework to examine connectivity phenomena under controlled conditions and allows for comparisons with data modalities collected under invasive or terminal procedures. Currently, animal acquisitions are performed with varying protocols and analyses that hamper result comparison and integration. Here we introduce StandardRat, a consensus rat functional magnetic resonance imaging acquisition protocol tested across 20 centers. To develop this protocol with optimized acquisition and processing parameters, we initially aggregated 65 functional imaging datasets acquired from rats across 46 centers. We developed a reproducible pipeline for analyzing rat data acquired with diverse protocols and determined experimental and processing parameters associated with the robust detection of functional connectivity across centers. We show that the standardized protocol enhances biologically plausible functional connectivity patterns relative to previous acquisitions. The protocol and processing pipeline described here is openly shared with the neuroimaging community to promote interoperability and cooperation toward tackling the most important challenges in neuroscience.

关键词： Databases Neural circuits

来源：评论

学校读者我要写书评

暂无评论

A Robust PID Autotuning Method Applied to the Benchmark PID18

引用

IFAC-PapersOnLine 2018年第4期51卷 521-526页

作者： Zhao, Shiquan Cajo, Ricardo Ionescu, Clara M. De Keyser, Robin Liu, Sheng Plaza, Douglas Ghent University Faculty of Engineering Architecture Research group on Dynamical Systems Control Technologiepark 914 ZwijnaardeB9052 Belgium Harbin Engineering University College of Automation China Escuela Superior Politecnica del Litoral ESPOL Grupo de Investigación en Automatización y Control Industrial Campus Gustavo Galindo Km 30.5 Vía Perimetral Guayaquil09-01-5863 Ecuador

In this paper a proportional-integral-derivative (PID) autotuning control strategy is presented and applied to the benchmark system presented at the 3rdIFAC Conference on Advances in Proportional-Integral-Derivative control (PID18). The automatic tuning of controller gains is based on a single sine test, with user-defined robustness margins guaranteed. Its performance is compared against a model based designed controller with computer-aided design tool based on frequency response (FRtool) and against the benchmark reference controller. The closed loop control simulations, applied on the benchmark, indicate that the method properly performed. © 2018

关键词： Proportional control systems Benchmarking Computer aided design controllers Frequency response Refrigeration Three term control systems Two term control systems Autotuner Modulus margins Multi output Multiinput Refrigeration system

来源：评论

学校读者我要写书评

暂无评论

Supervisory Robust Model Predictive control for Linear systems Subject to Parametric Uncertainty and Application to Level control process

Supervisory Robust Model Predictive Control for Linear Syste...

引用

International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON

作者： Pongsorn Keadtipod David Banjerdpongchai Dept. of Electrical Engineering Chulalongkorn University Intelligent Control Automation of Process Systems (iCAPS) Research Unit Bangkok Thailand

ISBN: (纸本)9781538635568;9781538635551

This paper presents supervisory robust model predictive control (RMPC) for linear systems in the presence of parametric uncertainty. The control structure is cascade control where the outer loop controller is RMPC and the inner loop controller as proportional-integral (PI) controller. The parametric uncertainty appears in the dynamic matrix and input matrix and satisfies norm-bounded condition. First, we derive inner closed-loop model and use this model to design RMPC. The design of RMPC involves a min-max optimization problem which aims to find the optimal solution minimizing the worst case performance. We derive an upper bound of the worst case performance and apply Linear Matrix Inequality to determine the control input. We conduct the step tests on the level control loop and obtain 4 dynamic models. Numerical results reveal that supervisory RMPC can ensure reference tracking regardless of uncertain dynamics.

关键词： process control Uncertainty Level control Computational modeling Linear systems Telecommunications Information technology

来源：评论

学校读者我要写书评

暂无评论

Robust Attitude control for Reusable Launch Vehicles Based on Fractional Calculus and Pigeon-inspired Optimization

引用

IEEE/CAA Journal of Automatica Sinica 2017年第1期4卷 89-97页

作者： Qiang Xue Haibin Duan Bio-inspired Autonomous Flight Systems(BAFS) Research Group the Science and Technology on Aircraft Control Laboratory School of Automation Science and Electrical Engineering Beihang University (BUAA) IEEE

In this paper, a robust attitude control system based on fractional order sliding mode control and dynamic inversion approach is presented for the reusable launch vehicle RLV during the reentry phase. By introducing the fractional order sliding surface to replace the integer order one, we design robust outer loop controller to compensate the error introduced by inner loop controller designed by dynamic inversion approach. To take the uncertainties of aerodynamic parameters into account, stochastic robustness design approach based on the Monte Carlo simulation and Pigeon-inspired optimization is established to increase the robustness of the controller. Some simulation results are given out which indicate the reliability and effectiveness of the attitude control system. © 2014 Chinese Association of automation.

关键词： Attitude control Calculations Communication satellites control systems Intelligent systems Launch vehicles Launching Monte Carlo methods Nonlinear control systems Reusability Reusable rockets Robustness (control systems) Sliding mode control Stochastic systems Vehicles

来源：评论

学校读者我要写书评

暂无评论

An Improved Output Feedback MPC scheme for Constrained Linear systems

引用

IFAC-PapersOnLine 2017年第1期50卷 15506-15511页

作者： Subramanian, Sankaranarayanan Lucia, Sergio Engell, Sebastian Process Dynamics and Operations Group DortmundTU United States Otto-von-Guericke-University Magdeburg Laboratory for Systems Theory and Automatic Control Institute of Automation Engineering Germany

We propose an output feedback model predictive control (MPC) scheme that is independent of the estimation method employed. The proposed approach is non-conservative by design as the feedback information subject to estimation errors is explicitly considered in the predictions. The proposed scheme is robust to both the plant-model mismatch and the estimation error and avoids the unnecessary conservatism introduced by other existing output feedback MPC approaches in the literature. We achieve this by making use of all the available information at every time-step and formulate a control policy with the assumption that bounds for the estimation error are available at all times. We show that the proposed scheme is recursively feasible and demonstrate its advantages using a double-integrator example. © 2017

关键词： Feedback Errors Estimation Linear systems Model predictive control Predictive control systems Robust control Constrained linear systems Constrained systems Estimation methods Feed back information Multi stage Output feedback Plant model mismatches Robust model predictive control

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：